The Impact Of Geographic Location On The Utility Derived From Real-Time Public Transport Information

This paper presents the results of a study undertaken in Dublin, to ascertain passenger preferences for public transport information. The study examines the need for public transport information across three stages of a public transport trip. The stages examined are as follows; stage one: pre-trip planning from home to work, stage two: at-stop/station information, and stage three: pre-trip planning from work to home. At each of these stages, the respondents were asked to choose between several methods of receiving information, via the internet, mobile phone, call centre or at stop real-time information displays. The study utilised a stated preference approach to ascertain what type of information respondents required at each stage and their willingness to pay for this information. This paper presents the findings of the study undertaken and reports several factors which affect respondent’s willingness to pay for public transport information. This paper examines several factors relating to the impact of the geographical location of a respondent in relation to the utility they derive from real-time public transport information. The first factor examined measures the impact that the proximity of an individual to a high quality public transport option has upon utility derived from real-time information. The second factor examines how the residential location of the respondent impacts upon the utility derived from real-time information. Both of these geographical factors were examined using the results of a stated choice experiment conducted in Dublin, Ireland. The first section of this paper presents the survey methodology applied in this study. The following sections present the demographic characteristics of the sample collected and the results of the multinomial logit modelling conducted on the stated choice results. The paper concludes with a discussion and conclusions section.Institute of Transport and Logistics Studies. Faculty of Economics and Business. The University of Sydne

The Impact Of Geographic Location On The Utility Derived From Real-Time Public Transport Information

This paper presents the results of a study undertaken in Dublin, to ascertain passenger preferences for public transport information. The study examines the need for public transport information across three stages of a public transport trip. The stages examined are as follows; stage one: pre-trip planning from home to work, stage two: at-stop/station information, and stage three: pre-trip planning from work to home. At each of these stages, the respondents were asked to choose between several methods of receiving information, via the internet, mobile phone, call centre or at stop real-time information displays. The study utilised a stated preference approach to ascertain what type of information respondents required at each stage and their willingness to pay for this information. This paper presents the findings of the study undertaken and reports several factors which affect respondent’s willingness to pay for public transport information. This paper examines several factors relating to the impact of the geographical location of a respondent in relation to the utility they derive from real-time public transport information. The first factor examined measures the impact that the proximity of an individual to a high quality public transport option has upon utility derived from real-time information. The second factor examines how the residential location of the respondent impacts upon the utility derived from real-time information. Both of these geographical factors were examined using the results of a stated choice experiment conducted in Dublin, Ireland. The first section of this paper presents the survey methodology applied in this study. The following sections present the demographic characteristics of the sample collected and the results of the multinomial logit modelling conducted on the stated choice results. The paper concludes with a discussion and conclusions section.Institute of Transport and Logistics Studies. Faculty of Economics and Business. The University of Sydne

THE POTENTIAL IMPACTS OF LUAS (Dublin Light Rail System) ON TRAVEL BEHAVIOUR

The Irish Government is determined to provide a better, effective and more convenient transport for everyone, no matter where they live. It is recognised that the impact of transport on the environment is crucial. One way to try and control road traffic growth in Dublin is through the introduction of a new light rail transit system called LUAS. Predicting the impacts of this system on travel behaviour is complicated, in particular given the lack of experience of this type of mode in Ireland.  Article visualizations

Local air pollution and asthma among over-50s in Ireland. ESRI Research Bulletin 202008 June 2020.

Researchers today published a study showing that over-50s in Ireland living in areas with higher levels of air pollution are more likely to have asthma. The study, published in the International Journal of Epidemiology, was carried out by a team from ESRI, TCD, RCSI, TU Dublin and IT Carlow

The Relative Influence of Proximity to Fast Road Infrastructure, Accessibility, and Deprivation on Crime

Irish rural areas saw an increase in the number of burglaries in the period following the completion of a network of high speed motorway interurban routes. To test the hypothesis that the new fast infrastructure was providing quick exits by urban based criminal gangs, Irish crime statistics along with census data were combined in a logistic regression analysis to assess the relative influence of accessibility, deprivation, population, and proximity to fast road infrastructure on the number of burglaries in areas. It was found that accessibility had a higher influence on crime than area deprivation and that proximity to fast road infrastructure was not significant

A Stated Preference Analysis of Real-Time Public Transit Stop Information

This paper presents the results of a study conducted to examine the benefits derived from real-time public transit stop information. This research examines the preferences between several options of receiving real-time public transit stop information. The literature states that one of the main reasons individuals access real-time information is to remove the uncertainty when using public transit. This relationship was examined to ascertain if the provision of real-time public transit information can remove the uncertainty and frustration associated with using public transit. A nested logit model structure was applied in this study to examine the benefits derived from accessing real-time public transit information. These models are estimated on segments of the dataset to ascertain how the mode of transport used by the respondents impacts the benefits derived from using real-time public transit information. The results of this study demonstrate that passengers derive the greatest benefit from accessing transit stop information from real-time information displays. Respondents were shown to obtain the second highest utility when accessing transit stop information via a mobile phone short message service (SMS). Bus users were found to gain the highest benefit from the provision of real-time transit stop information

Examining the Factors that Impact Public Transport Commuting Satisfaction

The first objective of this research was to examine the level of stress caused by commuting into Dublin city centre. The second objective was to determine the value placed on the comfort and reliability of public transport services. An on-line survey of workers who commute daily into Dublin city centre was conducted, which collected data on the respondents’ typical commute, commute-related stress, and socio-economic background. Commute satisfaction levels among public transport users were found to decrease for those who travel on crowded or unreliable services and those who have long wait-times. Stated preference scenarios relating to crowding and reliability were analysed using a multinomial logit model. The model showed that utility derived increases as crowding decreases and as reliability increases

How Urban Parks Offer Opportunities for Physical Activity in Dublin, Ireland

Parks are an important part of the urban fabric of cities. They offer people the opportunity to connect with nature, engage in physical activity, find a haven away from the city noise, or spend time alone or with family and friends. This study examines the relative importance of park and park visit characteristics for 865 survey participants in Dublin, Ireland. The data is analyzed using a multinomial logistic regression model which can distinguish the relative importance of attributes. The model results demonstrate an improvement over proportional by chance accuracy, indicating that the model is useful. The results suggest that when and why individuals go to the park along with the proximity of their residence to the park influence visit frequency more than their age and gender and more than their impression of the sound levels in the park. The contribution of the results, in terms of their potential usefulness to planners, suggest that the priority should be on the provision of park space close to residential areas, so that individuals can engage in activities such as walking and relaxation, and that the quality of that space, in the context of noise levels at least, is less important

Examining the Factors that Impact Public Transport Commuting Satisfaction

The first objective of this research was to examine the level of stress caused by commuting into Dublin city centre. The second objective was to determine the value placed on the comfort and reliability of public transport services. An on-line survey of workers who commute daily into Dublin city centre was conducted, which collected data on the respondents’ typical commute, commute-related stress, and socio-economic background. Commute satisfaction levels among public transport users were found to decrease for those who travel on crowded or unreliable services and those who have long wait-times. Stated preference scenarios relating to crowding and reliability were analysed using a multinomial logit model. The model showed that utility derived increases as crowding decreases and as reliability increases